Freshers & Experience || Part Time || Data Annotator

Key Skills

Image Labeling Image Recognition Labeling Data Data Labeling Text Annotation Data Categorization Data Tagging Data Management Data Analysis Annotation Tools Critical Thinking Annotating Images Machine Learning Natural Language Processing Attention to Detail Data Validation Computer Vision Data Processing Quality Control Data Entry

Job Description

We are seeking a Data Annotator to join our team in a part-time, work-from-home position. This role is suitable for candidates with little to no experience. You will play a crucial part in preparing data for our projects.

Key Responsibilities:

1. **Data Tagging**: You will label and categorize various types of data, such as images, text, or audio, to help train machine learning models. Clear and accurate labeling is essential.

2. **Review and Quality Control**: Regularly check your annotations for accuracy and precision. This ensures that the data being used is of high quality and meets project standards.

3. **Follow Guidelines**: Adhere to specific instruction outlines provided for data annotation tasks. Understanding these guidelines will help maintain consistency and quality across the data.

4. **Feedback Implementation**: Be open to receiving feedback on your work and make improvements as suggested. This will help you grow in the role and contribute more effectively to the team.

Required Skills and Expectations:

Candidates should possess a good understanding of basic computer skills and be comfortable using various software tools for data annotation. Attention to detail is vital, as is the ability to follow instructions accurately. A passion for learning and improving is essential, along with the ability to work independently and manage your time effectively. A positive attitude and a willingness to collaborate with team members are also important.
  • Experience

    0 - 1 Years

  • No. of Openings

    569

  • Education

    10th Pass

  • Role

    Data Annotator

  • Industry Type

    Engineering / Cement / Metals

  • Gender

    [ Male / Female ]

  • Job Country

    India

  • Type of Job

    Part Time (Night Shift)

  • Work Location Type

    Work from Home

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